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Characterizing Sierra Nevada snowpack using variable-resolution CESM

TL;DR: In this paper, a variable-resolution global climate modeling within the Community Earth System Model (VR-CESM) is proposed to include dynamically large-scale atmosphere-ocean drivers, to limit model bias and to provide more accurate representations of regional topography.
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GPU-based roofs' solar potential estimation using LiDAR data

TL;DR: This paper proposes a novel method for fast solar potential estimation using GPU-based CUDA technology, which employs LiDAR data, irradiance measurements, multiresolutional shadowing from solid objects, and heuristicshadowing from vegetation.
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The path to CAM6: coupled simulations with CAM5.4 and CAM5.5

TL;DR: In this paper, coupled simulations of two developmental versions of the Community Atmosphere Model (CAM) towards CAM6.5 have been conducted and the results show that CAM5.5 has lower cloud forcing biases when compared to the control simulations.
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An evaluation of the variable-resolution CESM for modeling California's climate

TL;DR: Huang et al. as discussed by the authors evaluated the performance of variable-resolution community Earth System Model (VR-CESM) for long-term regional climate modeling of California at 0.25°(28 km) and 0.125°(14 km) horizontal resolutions.
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